R Observatory: Metrics for SeaVal version 1.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SeaVal

1.2.0Package record

Validation of Seasonal Weather Forecasts

0packages depend

6.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Claudio Heinrich-MertschingCRAN page ↗GitHub ↗Website ↗

Provides tools for processing and evaluating seasonal weather forecasts, with an emphasis on tercile forecasts. We follow the World Meteorological Organization's "Guidance on Verification of Operational Seasonal Climate Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: https://library.wmo.int/idurl/4/56227). The development was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at https://seasonalforecastingengine.github.io/SeaValDoc/.

Changes in 1.2.0

Plotting functions tfc_plot() and tfc_gha_plot() for plotting tercile forecasts.
All map-plotting functions have now the option to turn off dimension-checking, by setting dimension_check = FALSE. This makes them quite a bit faster, but is less secure. Default is to check (as before).
Units for precipitation datasets have been switched from mm/day to mm (or mm/month) which is much more common. This affects the two internal datasets chirps_monthly and ecmwf_monthly, and the data returned from load_chirps().
The new function convert_monthly_to_seasonal() converts monthly observations/predictions to seasonal ones.
dt_to_netcdf() can now handle character-valued columns in dt. These are recognized correctly by netcdf_to_dt().
Fixed a bug in ver_map() and ver_map_chirps().
The maintainers email address and the location of the online tutorial changed. The online tutorial has been updated and extended.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SeaVal", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("SeasonalForecastingEngine/SeaVal")

Development version from SeasonalForecastingEngine/SeaVal. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-seaval

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SeaVal

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SeaVal

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.7 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.0

READMEYes · 118 wordsVignettesNoNEWSYes · 100% structured · mentions 1.2.0Citation fileNoWebsiteYes

Help pages: 95 (1 internal)includes a package overview page
Examples that run: 83%60 run in a plain check (7 of them under a condition) · 10 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run · 1 hold no code
Exported functions with examples: 96%
Documented parameters: 86%
Return-value docs: 92%
Help pages citing references: 1%

How these are measured

Downloads

6.4K

CRAN downloads in the past year

Rank #9,856 · ~18/day · ~536/mo

Releases R versions

Daily download trend is not available in this view yet.

32530 days

1K90 days

6.4K1 year

Compare downloads with other packages →

Also on94 r2u6 autocran

How downloads are counted

Repository

seasonalforecastingengine/seaval ↗Organization: SeasonalForecastingEngine

1Stars

1Forks

1Open issues

1Open PRs

1Releases

163Commits

6Commit identities

License file reads as GPL-3.0 · 163 commits · Last activity 2024-06-17 · 0% stars, 30d · Default branch at 1.2.0.9000, ahead of CRAN 1.2.0 (checked 2026-10-18)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2021-06-10 · 12026-07-07 · 1

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/seasonalforecastingengine/seaval on 2026-10-18.

Continuous integration (1)

GitHub Actions

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing SeaVal adds 31 packages (15 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (3)

R >= 2.10data.table ggplot2

Imports (9)

ggnewscale ggplotify lifecycle maps ncdf4 patchwork RColorBrewer scales stringr

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Claudio Heinrich-Mertsching

Celine Cunen

Contributor

Michael Scheuerer

Contributor

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.2.0Latest
record
2024-06-14 · current release · diff ↗ ·
added 4 exports
convert_monthly_to_seasonal, lt_cols, tfc_gha_plot, tfc_plot
R
R 4.4.0 released · 2024-04-24
1.1.1
record
2023-11-25 · diff ↗ ·
removed 3 exports
ggplot_dt_gha_map, ggplot_dt_shf, restrict_to_confer_region

added 1 export
gha_plot
1.1.0
record
2023-11-21 · diff ↗ ·
added 7 exports
complete_regular_grid, get_mask, ggplot_dt_gha_map, ggplot_dt_shf, grid_info, set_spatial_grid, tercile_plot
1.0.0
record
2023-11-08
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-11-08
Total releases: 4 / 3 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 2.10
Bundled data: 434 KB / 2 files
Download size: 3.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SeaVal")

Format

Heinrich-Mertsching, C., Cunen, C., & Scheuerer, M. (2024). SeaVal: Validation of Seasonal Weather Forecasts (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SeaVal

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SeaVal version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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